metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-anaphora_czech_3e
results: []
mt5-small-anaphora_czech_3e
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0405
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1398 | 1.0 | 44960 | 0.0720 |
| 0.0879 | 2.0 | 89920 | 0.0519 |
| 0.072 | 3.0 | 134880 | 0.0480 |
| 0.0627 | 4.0 | 179840 | 0.0430 |
| 0.0576 | 5.0 | 224800 | 0.0408 |
| 0.0588 | 6.0 | 269760 | 0.0405 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1